Analytics service combining data warehousing and big data
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147 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Analytics workspace
Biggest con
Complex pricing
TL;DR - Azure Synapse
- Azure Synapse Analytics combines data warehousing and big data analytics in one service
- It queries data lakes and warehouses with SQL or Spark at massive scale
- Pay per compute and storage used
Pricing: Paid only
Best for: Enterprises & pros
4.3/5 across review platforms
What is Azure Synapse?
Azure Synapse brings together data warehousing and big data analytics. Query structured data with SQL and process unstructured data with Spark-all in one service with a unified experience.
Data integration pulls from anywhere. Power BI integration makes visualization seamless. On-demand and provisioned compute options fit different workloads.
Organizations doing serious analytics on Azure choose Synapse when they need both SQL analytics and big data processing without running separate systems.
Available on: Web
Pros & Cons
Pros
- Analytics workspace
- Azure integration
- Good for big data
- Active development
- Good features
Cons
- Complex pricing
- Azure dependency
- Learning curve
- Feature complexity
- Expensive at scale
Ratings Across the Web
4.3(147 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
AnalyticsData warehousingSparkPipelinesServerless SQLMicrosoft
Pricing Plans
Free TrialPricing checked Jul 10, 2026
Most Popular
Serverless SQL
$5/per TB processed
Query data lake
- Pay per query
- No infrastructure
- T-SQL support
- On-demand
Dedicated SQL
Varies
Data warehouse
- 100 DWU minimum
- Reserved capacity
- Predictable performance
- RA-GRS backup
Apache Spark
Varies
Big data analytics
- Node-based pricing
- Auto-scaling
- Multiple languages
- ML integration
How Azure Synapse's pricing compares
At $5/mo, Azure Synapse is the most premium of its 2 direct competitors.
Entry paid plan, monthly. Pricing checked Jul 10, 2026.
Reviews
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4.3/5
Across 147 verified user reviews on G2, Capterra, SourceForge
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Azure Synapse FAQ
How does Azure Synapse support diverse data analytics needs?
Azure Synapse combines data warehousing and big data analytics capabilities, allowing users to query structured data using SQL and process unstructured data with Spark within a single service. This unified experience simplifies the management of different data types and analytical workloads. It also includes data integration features to pull data from various sources.
Which teams would benefit most from using Azure Synapse?
Azure Synapse is best suited for organizations that require both SQL analytics for structured data and big data processing for unstructured data, without maintaining separate systems. It caters to teams performing serious analytics on the Azure platform, providing a comprehensive solution for their data needs.
How does Azure Synapse compare to Snowflake for data warehousing and analytics?
Azure Synapse integrates data warehousing and big data analytics within a single service, offering a unified experience for SQL and Spark workloads. Unlike Snowflake, Synapse is deeply integrated with the broader Azure ecosystem, which can be advantageous for organizations already leveraging Azure services.
What kind of trade-offs should users consider when adopting Azure Synapse?
Users should be aware that Azure Synapse can have complex pricing and may become expensive at scale due to its comprehensive feature set. Its deep integration with Azure also means a dependency on the Azure ecosystem, and there can be a learning curve associated with its feature complexity.
Does Azure Synapse include a free tier for new users?
Azure Synapse is a paid product and does not offer a permanently free tier for its services. Users will incur costs based on their usage of its data warehousing and big data analytics capabilities.
Can Azure Synapse integrate with business intelligence tools?
Yes, Azure Synapse offers seamless integration with Power BI, enabling users to visualize their data effectively. This allows for comprehensive reporting and dashboard creation directly from the analytics performed within Synapse.
How does Azure Synapse manage compute resources for different workloads?
Azure Synapse provides both on-demand and provisioned compute options to accommodate various workload requirements. This flexibility allows users to optimize resource allocation based on the specific demands of their data warehousing and big data analytics tasks.
Source: azure.microsoft.com